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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 140.000 – USD 200.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum computing breakthroughs that will redefine 2026's digital landscape. As a Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges. Our Austin campus features state-of-the-art labs and an unparalleled innovation culture.

This role offers competitive equity, flexible hybrid work, and a comprehensive benefits package including sabbatical programs. Shape the future of quantum cryptography, AI optimization, and computational medicine while accelerating your career in one of the world's most dynamic tech ecosystems.

Responsibilities

  • Lead quantum algorithm development for cryptography and machine learning applications
  • Design and execute fault-tolerant quantum processor experiments
  • Collaborate with hardware teams to optimize qubit stability and coherence times
  • Publish peer-reviewed research in top-tier quantum computing journals
  • Develop patentable intellectual property for quantum error correction techniques
  • Mentor junior researchers in quantum physics and computational theory
  • Present findings at international quantum computing conferences

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum error correction or topological qubits
  • Strong background in linear algebra and quantum information theory
  • Experience with cryogenic quantum systems and microwave control electronics
  • Demonstrated ability to secure competitive research funding

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Systems Qiskit Q# Fault-Tolerant Computing Quantum Error Correction Linear Algebra Peer-Reviewed Research

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